Staff Backend Engineer, Exposure Management

Accountabilities:

• • Serve as the technical lead for the Exposure Management team, defining technical direction, architecture, and system design practices.
  • Lead the migration of legacy attack surface management capabilities onto a modern Exposure Management platform while balancing existing customer commitments with long-term technical goals.
  • Own backend services end to end, including resolving complex legacy behavior and ensuring reliable interoperability between legacy and new systems.
  • Design, build, and evolve large-scale, real-time streaming services that process and leverage extensive datasets.
  • Drive technical alignment across shared systems, improving scalability, coordination, reliability, and engineering effectiveness.
  • Lead architecture reviews and promote maintainable, high-quality software through strong engineering practices, testing, CI, linting, and appropriate design patterns.
  • Mentor engineers and foster a culture of technical excellence, thoughtful architecture, and continuous improvement.
  • Apply AI and LLM technologies to improve engineering productivity, automate workflows, and enhance capabilities within the Exposure Management platform.
  • Partner across teams to identify systemic gaps, document technical decisions, and drive solutions from initial concept through implementation.

  Requirements:

  • 10+ years of professional software engineering experience, including 5+ years working extensively with Go.
  • Strong understanding of how the Internet works, including technologies and concepts such as DNS record types, WHOIS, and certificate Subject Alternative Names (SANs).
  • Deep experience designing and building horizontally scalable distributed systems with high availability and fault tolerance.
  • Hands-on experience with service-oriented and microservice architectures, including technologies such as gRPC, REST, Kubernetes, and GCP.
  • Experience working with event-driven architectures, ideally using GCP Pub/Sub or similar messaging technologies.
  • Ability to quickly understand unfamiliar legacy systems, reverse-engineer existing behavior, and resolve complex issues with minimal disruption.
  • Strong technical design, documentation, communication, and problem-solving skills, with the ability to influence technical decisions across teams.
  • Positive, action-oriented approach to ambiguous technical problems, with a preference for iterative and pragmatic solutions.
  • Strong commitment to maintainable software, automated testing, CI/CD quality controls, linting, code complexity management, and established engineering patterns.
  • Experience leading product migrations or platform consolidations while supporting legacy customers and developing new capabilities in parallel is a plus.
  • Interest in using AI and LLM technologies to improve engineering velocity, automation, and product experiences, combined with sound judgment around responsible adoption.

  Benefits:

  • Base salary, equity, and eligibility for bonus compensation.
  • For U.S. locations, the published base salary ranges from $172,000–$216,000 USD in most locations and $198,000–$233,000 USD in designated high-cost areas; remote compensation is localized based on employee work location.
  • Health, dental, and vision coverage.
  • Life insurance.
  • Mental wellness benefits.
  • Fertility and growing-family support.
  • Flexible paid time off and company-paid holidays.
  • Paid family, medical, and bereavement leave.
  • Retirement savings plan with company contribution.
  • Allowance for customizing home-office and technology setup.
  • Annual professional development stipend.
  • Remote work opportunity within the U.S. or Canada.
  • Reasonable accommodations available for candidates and employees with disabilities.